- Pre-order Price Guarantee: order now and if the Amazon.co.uk price decreases between the time you place your order and the release date, you'll be charged the lowest price. Here's how (terms and conditions apply)
- Buy this product and stream 90 days of Amazon Music Unlimited for free. E-mail after purchase. Conditions apply. Learn more
The Art of Statistics: Learning from Data (Pelican Books) Hardcover – 28 Mar 2019
|New from||Used from|
- Choose from over 13,000 locations across the UK
- Prime members get unlimited deliveries at no additional cost
- Find your preferred location and add it to your address book
- Dispatch to this address when you check out
Special offers and product promotions
Frequently bought together
Customers who viewed this item also viewed
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
To get the free app, enter your mobile phone number.
Would you like to tell us about a lower price?
This is an excellent book. Spiegelhalter is great at explaining difficult ideas . . . Yes, statistics can be difficult. But much less difficult if you read this book. (The Evening Standard)
David Spiegelhalter's The Art of Statistics shines a light on how we can use the ever-growing deluge of data to improve our understanding of the world . . . The Art of Statistics will serve students well. And it will be a boon for journalists eager to use statistics responsibly - along with anyone who wants to approach research and its reportage with healthy scepticism. (Nature)
David Spiegelhalter is probably the greatest living statistical communicator; more than that, he's one of the great communicators in any field. This marvellous book will transform your relationship with the numbers that swirl all around us. Read it and learn. I did. (Tim Harford, presenter of 'More or Less' and author of 'The Undercover Economist')
David Spiegelhalter combines clarity of thinking with superb communication skills and a wealth of experience of applying statistics to everyday problems. The result is The Art of Statistics, a book that manages to be enjoyable as well as informative: an engaging introduction for the lay person who wants to gain a better understanding of statistics. Even those with expertise in statistics will find much within these pages to stimulate the mind and cast new light on familiar topics. A real tour de force which deserves to be widely read. (Dorothy Bishop, Professor of Developmental Neuropsychology and Wellcome Trust Principal Research Fellow in the Department of Experimental Psychology, University of Oxford)
If I had to trust just one person to interrogate statistical data, I'd trust David Spiegelhalter. He is a master of the art. Here, he shows us how it's done. The result is brilliant; nothing short of an essential guide to finding things out - delivered through a series of detective-like investigations of specific examples ranging from sexual behaviour to murder. The technical essentials are also all here: from averages to infographics, algorithms and Bayesian statistics - both their power and their limitations. All this makes The Art of Statistics a first call for all those setting out on a career or study that involves working with data. But beyond that, it's self-help for anyone with a serious desire to become a clued-up citizen in a world of numbers. If you want pat answers, or meat for your prejudices, go elsewhere. But if you want to develop the skills to see the world as it is, and to tell it how it is - honestly and seriously - this is the book. (Michael Blastland, creator of BBC Radio 4’s More or Less, and co-author of 'The Tiger That Isn’t - Seeing Through a World of Numbers')
In this wonderfully accessible introduction to modern statistics, David Spiegelhalter has created a worthy successor to classics such as Moroney's Facts from Figures. Using many real examples, he introduces the methods and underlying concepts, showing the power and elegance of statistics for gaining understanding and for informing decision-making. (David J. Hand, Emeritus Professor of Mathematics at Imperial College London)
H.G. Wells is frequently quoted as having said that "Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write." That day has certainly come. This wonderful book provides a non-technical and entertaining introduction to the basic tools of statistical thinking. Wells would have approved. (Professor Sir Adrian Smith FRS, Director, Alan Turing Institute)
About the Author
Sir David John Spiegelhalter is a British statistician and Chair of the Winton Centre for Risk and Evidence Communication in the Statistical Laboratory at the University of Cambridge. Spiegelhalter is one of the most cited and influential researchers in his field, and was elected as President of the Royal Statistical Society for 2017-18.
Customers who bought this item also bought
There was a problem filtering reviews right now. Please try again later.
This book takes real world questions and shows you how they've been answered introducing various statistical techniques as it does so. It does this whilst aiming to avoid "getting embroiled in technical details". The questions picked are quite interesting subjects like "why do old men have big ears?", "how many trees are there in this planet?" (an estimated 3.04 trillion if you must know) or what height will a son/daughter be given their parents' heights and so on with some of the questions being based on work the author has been involved in during his career. Relating the problems to real life helps make the text appeal not only to statisticians (to which this book is dedicated) but also to non-technical readers "who want to be more informed about the statistics they encounter both in their work and in everyday life."
Some of this is not new stuff, e.g. early bits on presentation of data such as 3D pie charts not making comparisons easy being useful for comparing proportions. But the book does get more involved as you work through it getting deeper in statistical techniques making it harder to understand and requiring more concentration, and the author is aware of this, for example asking if it is "all clear? If it isn't then please be reassured that you have joined generations of baffled students". Also the conclusion congratulates you for getting to the end.
Useful stuff in here for me was the chapter on regression (which is what I use more commonly than much of the rest), and the last couple of chapters after the hard stuff were good reading too, showing bad examples and good examples of statistics from journals and the like and explaining why (offering learning points).
Technical stuff is relegated to the technical glossary so this book is readable (which is good for a book about statistics), although still hard in places. For my work it has been useful and I'm glad I read it and have it for future reference.
This is a highly readable, accessible book that demonstrates the use of statistics, the processes involved in statistical analysis, the impact and effects of different framings and scales, the potential misuse, and missed opportunities. The book gives useful insights into the statistical methods, though this is not a book of mathematical formula and derived mathematical proofs – if you are looking for such, you will need to look elsewhere.
The author puts the discussion of case studies into a PPDAC cycle (Problem, Plan, Data, Analysis, Conclusion), thus following the statistics lifecycle, from conception and planning though to use, interpretation. The case studies are well chosen and interesting.
Having read many stats books and worked in the medical research field, I rate this as a very good book. Excellent for those looking for a good introduction to statistics, and interesting and informative for anyone.
It's not a hugely mathematical treatment of the subject (which was a great relief to numerically challenged me) but it is well and literately written. I found it best read in small chunks to give the mind time to internalise and reflect on each reading. Some superb examples are given of how statistics are used to further a point of view and how the collection of statistics can be subject to bias that all too easily colour or distort the story they supposedly tell.
If you have any interest in understanding way in which statistics are used in the modern world and how you can better interpret the endless stats that come your way, then this is the book for you.
I have learned a great deal from this and his discussions of Harold Shipman and of 95% accuracy tests giving far more false positives than accurate responses (inter alia) have been really eye-opening. The technicality of p and t tests has got a bit beyond me and one or two graphs could be clearer (though my preview copy is not coloured and so perhaps this is unfair).
Certainly one comes away from the book knowing why statistics and significance testing is becoming ever more central in subjects such as Psychology where a replication crisis is at work (and even at A-Level stats is becoming more prevalent) and his clear desire that the journalists reporting cases (he often cites examples of poor reporting) would understand teh data they use and not confuse themselves and readers.
Huge amounts to learn, but perhaps too technical for most of us.